Sallie R. Permar

9.9k citations
204 papers · 4.6k indexed · 1 hit paper · h-index 35
Topics
Cytomegalovirus and herpesvirus research (83 papers)HIV Research and Treatment (81 papers)Herpesvirus Infections and Treatments (46 papers)

In The Last Decade

Sallie R. Permar

197 papers receiving 4.5k citations

Hit Papers

Human Cytomegalovirus mRNA-1647 Vaccine Candidate Elicits...202420262025202410203040

Peers

Sallie R. Permar
Comparison fields: 5 of 170
  • Epidemiology 2.2k
  • Infectious Diseases 1.7k
  • Immunology 1.2k
  • Virology 808
  • Molecular Biology 543
Replace Esper G. Kallás with:
Esper G. Kallás Brazil
Robert J. Biggar United States
Michael Kidd United Kingdom
Susan L. Stramer United States
Hui Zeng China
Pentti Koskela Finland
Yvonne J. Bryson United States
Clive M. Gray South Africa
Peter Openshaw United Kingdom
Stéphane Blanche France
Sallie R. Permar relative to Esper G. Kallás Brazil Esper G. Kallás's profile →
Citations per field
00.5×1.5×2.0×
Esper G. Kallás · 1×
Citations per year

Countries citing papers authored by Sallie R. Permar

Since Specialization
Citations

This map shows the geographic impact of Sallie R. Permar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sallie R. Permar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sallie R. Permar more than expected).

Fields of papers citing papers by Sallie R. Permar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sallie R. Permar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sallie R. Permar. The network helps show where Sallie R. Permar may publish in the future.

Co-authorship network of co-authors of Sallie R. Permar

This figure shows the co-authorship network connecting the top 25 collaborators of Sallie R. Permar. A scholar is included among the top collaborators of Sallie R. Permar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sallie R. Permar. Sallie R. Permar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 0
3 4
4 16
5 2
6 5
7 6
8 19
9 6
10 21
11 44
12 4
13 12
14 13
15 52
16 10
17 121
18 25
19 79
20 20

About Sallie R. Permar

Sallie R. Permar is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 204 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (83 papers), HIV Research and Treatment (81 papers) and Herpesvirus Infections and Treatments (46 papers). The work is most often cited by research in Virology (808 citations), Infectious Diseases (1.7k citations) and Epidemiology (2.2k citations). Sallie R. Permar has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Genevieve G. Fouda, Geeta K. Swamy, David R. Martinez, Mark R. Schleiss, Zhonghe Sun, Ying Zhang, Jennifer A. Jenks, Youyi Fong, Cody S. Nelson and Norman L. Letvin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and JAMA.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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